Pregled bibliografske jedinice broj: 984869
Thermal modeling of buildings with RC method and parameter estimation
Thermal modeling of buildings with RC method and parameter estimation // Proceedings of 2016 International Conference on Smart Systems and Technologies (SST) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016. str. 19-25 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Thermal modeling of buildings with RC method and parameter estimation
Autori
Belić, Filip ; Hocenski, Željko ; Slišković, Dražen
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2016 International Conference on Smart Systems and Technologies (SST)
/ Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016, 19-25
ISBN
978-1-5090-3718-6
Skup
2016 International Conference an Smart Systems and Technologies (SST)
Mjesto i datum
Osijek, Hrvatska, 2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
HVAC, thermal models, parameter estimation, optimisation, hybrid models
Sažetak
Energy efficiency is becoming more important issue, especially in buildings sector where 15- 20% of total energy in developed countries is used. One course toward higher efficiency is to improve HVAC (Heating, Ventilation and Air Conditioning) systems in building, especially by implementation of advanced control methods. Efficiency of these control methods (especially Model Predictive Control) significantly depends on quality of thermal models, where quality can be defined by accuracy and complexity. This paper investigates relationships between accuracy and complexity in thermal models produced with RC (Resistance-Capacitance) equivalent method, with parameters improved using optimization and estimation from data. Four experiment regarding importance of selection of error function, selection of training data, selection of model complexity and reduction of complexity are conducted and explained.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Social Science Citation Index (SSCI)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus